The Informativeness of k-Means for Learning Mixture Models

The Informativeness of k-Means for Learning Mixture Models

10.1109/ISIT.2018.8437304

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Bibliographic Details
Main Authors: Liu, Zhaoqiang, Tan, Vincent YF
Other Authors: ELECTRICAL AND COMPUTER ENGINEERING
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Engineering
k-means algorithm
Mixture models
Fundamental limits
Log-concave distribution
Dimensionality reduction
Principal component analysis
Optimal clusterings
ALGORITHMS
Online Access:https://scholarbank.nus.edu.sg/handle/10635/171683
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/171683

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